Chris Volinsky's Publlications

1. Putting Recommendations on the Map -- Visualizing Clusters and Relations
   Emden Gansner, Yifan Hu, Stephen Kobourov, and Chris Volinsky
   Proceedings of the 3rd ACM Conference on Recommender Systems        (2009)  Download 
2. The Million Dollar Programming Prize
   Robert Bell, Jim Bennett, Yehuda Koren, and Chris Volinsky
   IEEE Spectrum        (2009)  Download 
3. Fraud Detection at AT&T: A Historical Perspective
   Richard A. Becker, Chris Volinsky, and Allan R. Wilks
   Technometrics        (2009 (to appear))  Download 
4. Measuring and extracting proximity graphs in networks
   Yehuda Koren, Stephen C. North, and Chris Volinsky
   ACM Transactions on Knowledge Discovery from Data    1  12  (2007)  Download 
5. Collaborative Filtering for Implicit Feedback Datasets
   Yifan Hu, Yehuda Koren, and Chris Volinsky
     IEEE International Conference on Data Mining (ICDM 2008)      (2008)  Download 
6. Chasing \$1,000,000: How We Won The {N}etflix {P}rogress {P}rize
   Robert M. Bell, Yehuda Koren, and Chris Volinsky
   Statistical Computing and Statistical Graphics Newsletter    18  4-12  (2007)  Download 
7. Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems
   Robert M. Bell, Yehuda Koren, and Chris Volinsky
     KDD '07: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining    95--104  (2007)  Download 
8. Modifying Boosted Trees to Improve Performance on {T}ask 1 of the 2006 {KDD} {C}hallenge {C}up
   Robert M. Bell, Patrick G. Haffner, and Chris Volinsky
   SIGKDD Explorations    8  47-52  (2006)  Download 
9. Measuring and Extracting Proximity in Networks
   Yehuda Koren, Stephen C. North, and Chris Volinsky
     KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining    245--255  (2006)  Download 
10. Building an Effective Representation for Dynamic Networks
    Shawndra Hill, Deepak Agarwal, Robert Bell, and Chris Volinsky
    Journal of Computational and Graphical Statistics    15  584--608  (2006)  Download 
11. Network-based Marketing: Identifying likely adopters via consumer networks
    Shawndra Hill, Foster Provost, and Chris Volinsky
    Statistical Science    21  256--276  (2006)  Download 
12. The Gift of Gab: Evidence TelE-Commerce Firms Can Profit from Viral Marketing
    Shawndra Hill, Foster Provost, and Chris Volinsky
      Statistical Challenges in ECommerce: The First Interdisciplinary Symposium Between Information Systems, Statistics, and Related Fields      (2005)  Download 
13. {BMA}: An {R} Package for {B}ayesian {M}odel {A}veraging
    Adrian E. Raftery, Ian Painter, and Chris Volinsky
    {R} News    5  2-8  (2005)  Download 
14. Mining Customer Care Dialogs for "Daily News"
    Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert Bell, Mazin Rahim, Deborah Swayne, and Chris Volinsky
    IEEE Transactions on Speech and Audio Processing (Special Data Mining Issue)    13  652-660  (2005)  Download 
15. The use of {B}ayesian model averaging to better represent uncertainty in the predictions of ecological models.
    Brendan Wintle, M.A. McCarthy, Chris Volinsky, and R. P. Kavanagh
    Conservation Biology    17  1579-1590  (2003)  Download 
16. Computational Methods for Dynamic Graphs
    Corinna Cortes, Daryl Pregibon, and Chris Volinsky
    Journal of Computational and Graphical Statistics    12  950-970  (2003)  Download 
17. Parallel Coordinates for Exploratory Modelling Analysis
    Antony Unwin, Chris Volinsky, and Sylvia Winkler
    Computational Statistics and Data Analysis    28  553-564  (2002)  Download 
18. Assessment of Response Bias in Mild Head Injury: Beyond Malingering Tests
    Scott R. Millis and Chris Volinsky
    Journal of Clinical and Experimental Neuropsychology    23  809-828  (2001)  Download 
19. Communities of Interest
    Corinna Cortes, Daryl Pregibon, and Chris Volinsky
      Proceedings of Intelligent Data Analysis 2001    105--114  (2001)  Download 
20. Bayesian Information Criterion for Censored Survival Models
    Chris T. Volinsky and Adrian E. Raftery
    Biometrics    56  256-262  (2000)  Download 
21. Squashing Flat Files Flatter
    Bill DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, and Daryl Pregibon
      Proceedings of the 5th Int. Conf. on Knowledge Discovery and Data Mining    6-15  (1999)  Download 
22. {B}ayesian {M}odel {A}veraging: A Tutorial
    Jennifer A. Hoeting, David Madigan, Adrian Raftery, and Chris T. Volinsky
    Statistical Science    14  382-401  (1999)  Download 
23. Bayesian Information Criterion for Censored Survival Models
    Chris T. Volinsky and Adrian E. Raftery
            (1999)  Download 
24. {B}ayesian {M}odel {A}veraging for Censored Survival Models
    Chris Volinsky
            (1997)  Download 
25. {B}ayesian {M}odel {A}veraging in Proportional Hazard Models: Assessing the Risk of a Stroke
    Chris T. Volinsky, David Madigan, Adrian E. Raftery, and Richard A. Kronmal
    Applied Statistics    46  443-448  (1997)  Download 
26. {B}ayesian {M}odel {A}veraging
    David Madigan, Adrian E. Raftery, Chris Volinsky, and Jennifer Hoeting
      Integrating Multiple Learned Models (IMLM96)      (1996)  Download 
27. {B}ayesian {M}odel {A}veraging and Model Selection for {M}arkov Equivalence Classes of Acyclic Digraphs
    David Madigan, Steen A. Andersson, Michael Perlman, and Chris T. Volinsky
    Communications in Statistics: Theory and Methods    25  2493-2520  (1996)  Download 
28. Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance (with discussion)
    Adrian E. Raftery, David Madigan, and Chris T. Volinsky
      {B}ayesian Statistics 5    323--349  (1995)  Download